Computational systems thinking for sustainable eng.
Summary
This course integrates systems thinking and network analysis through theory and computing. The objective of this course is to develop expertise in computationally analyzing and modeling complex systems in civil and urban systems engineering, with a particular emphasis on advancing sustainability.
Content
- Introduction to systems thinking: theory and applications
- Computational modeling of system dynamics
- Systems and sustainability (case studies on resource use and environmental impacts)
- Introduction to network analysis
- Computational modeling of networks with built environment applications
- Integrating computational and systems thinking
- Using computational tools for engineering decision-making for advancing sustainability
Keywords
Systems thinking, system dynamics, network analysis, computational modeling, sustainability
Learning Prerequisites
Required courses
Introduction to machine learning for engineers (CIVIL-226)
Recommended courses
Linear algebra (MATH-111)
Important concepts to start the course
Coding in Python, background in calculus and linear algebra
Learning Outcomes
By the end of the course, the student must be able to:
- Explain what comprises a complex system in the built environment
- Model complex urban systems and system dynamics
- Explain the characteristics of graphs and networks
- Use network analysis to describe complex systems
- Develop and model strategies for intervening in systems to advance sustainability objectives
Transversal skills
- Communicate effectively with professionals from other disciplines.
- Take account of the social and human dimensions of the engineering profession.
- Demonstrate the capacity for critical thinking
Teaching methods
Lectures, exercises, and activities
Assessment methods
2 exams during the semester (40%)
Exercises (30%)
Course project (30%)
Supervision
| Office hours | Yes |
| Assistants | Yes |
| Forum | Yes |
Resources
Bibliography
- Thinking in Systems: A Primer, Donella H. Meadows, 2008
- Networks, 2nd Edition, Mark Newman, 2018
Ressources en bibliothèque
Moodle Link
In the programs
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Computational systems thinking for sustainable eng.
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Computational systems thinking for sustainable eng.
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Computational systems thinking for sustainable eng.
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks